AI Engineer

Mission Consultancy Services Sdn. Bhd.; Kuala Lumpur; On-site; MYR 120,000 - 180,000; Full time

Job summary

Mission Consultancy Services Sdn. Bhd. in Kuala Lumpur is seeking an experienced AI Engineer to design, build, and deploy ML and AI-driven solutions spanning data pipelines, model development, and production deployment.

You'll work with data engineers and data scientists to implement feature engineering, validate models, and monitor performance in production. Knowledge of LLMs, MLOps, and cloud platforms is essential.

Qualifications

• 3–6 years of AI engineering or ML experience.
• Strong Python programming skills.
• Experience with TensorFlow, PyTorch, or scikit-learn.
• Experience deploying ML models into production.
• Experience with LLMs and Generative AI (OpenAI, LangChain, Hugging Face).
• Understanding of feature engineering and model evaluation.
• Familiarity with MLOps (MLflow, Docker, Kubernetes, CI/CD).
• Experience with AWS SageMaker, Azure ML, or Google Vertex AI is an advantage.
• Strong SQL skills.
• Excellent communication skills.

Responsibilities

• Design, develop, and deploy machine learning models and AI-driven solutions.
• Build and maintain data pipelines and feature engineering workflows.
• Develop, fine-tune, and integrate Large Language Models (LLMs).
• Collaborate with data engineers and data scientists.
• Deploy models into production environments (MLOps).
• Monitor deployed models for performance and reliability.
• Evaluate AI/ML APIs and frameworks.
• Translate business requirements into AI solutions.
• Conduct experiments and A/B testing.
• Document model architecture and data pipelines.
• Ensure responsible AI practices.
• Stay current with AI/ML technologies.

Skills

Python

TensorFlow

PyTorch

scikit-learn

MLOps

SQL

Statistics

Communication

Education

Bachelor's degree in Computer Science, Data Science, Engineering, or related field

Tools

Docker

Kubernetes

CI/CD

MLflow

OpenAI API

LangChain

Hugging Face

Job description

Job Summary

We are building our candidate database for an upcoming AI Engineer opportunity. We are looking for an experienced AI Engineer to design, build, and deploy machine learning and generative AI solutions that solve real business problems across the full AI/ML lifecycle.

Job Description

• Design, develop, and deploy machine learning models and AI-driven solutions.
• Build and maintain data pipelines and feature engineering workflows.
• Develop, fine-tune, and integrate Large Language Models (LLMs).
• Collaborate with data engineers and data scientists.
• Deploy models into production environments (MLOps).
• Monitor deployed models for performance and reliability.
• Evaluate AI/ML APIs and frameworks.
• Translate business requirements into AI solutions.
• Conduct experiments and A/B testing.
• Document model architecture and data pipelines.
• Ensure responsible AI practices.
• Stay current with AI/ML technologies.

Job Requirements

• 3–6 years of AI engineering or machine learning experience.
• Strong Python programming skills.
• Experience with TensorFlow, PyTorch, or scikit-learn.
• Experience deploying ML models into production.
• Experience with LLMs and Generative AI (OpenAI, LangChain, Hugging Face).
• Understanding of feature engineering and model evaluation.
• Familiarity with MLOps (MLflow, Docker, Kubernetes, CI/CD).
• Experience with AWS SageMaker, Azure ML, or Google Vertex AI is an advantage.
• Strong SQL skills.
• Strong statistics and ML knowledge.
• Excellent communication skills.
• Bachelor's degree in Computer Science, Data Science, Engineering, or related field.